Data Solutions Manager

Interested in joining one of Canada’s top performing asset managers? 

We are looking for a Manager, Enterprise Data Solutions to help build and deliver scalable data capabilities across the organization. 

Working closely with the technology leadership including Senior Manager, Enterprise Data Solutions, this role will provide both technical, strategy and people leadership across our enterprise data environment. You will help translate our data strategy into practical solutions, lead important data initiatives, and develop strong partnerships across investment, operations and technology teams. 

A key part of this role is also helping us build greater leadership depth and operational resilience within Enterprise Data Solutions. The successful candidate will develop broad knowledge across our data platforms, architecture and key business processes, and be capable of assuming leadership responsibility across important initiatives when required. 

Our offices currently operate on a hybrid model with three days in office. 

What You Will Do  

• Data Strategy Execution: Work with the Senior Manager to translate the enterprise data strategy into a practical roadmap, priorities and deliverables. 

• Data Architecture & Solutions: Lead the design and implementation of scalable data solutions, data models, integration patterns and platforms supporting investment and enterprise use cases. 

• Delivery Leadership: Take ownership of significant data initiatives from design through implementation, coordinating engineers, analysts, business partners and technology teams. 

• AI & Advanced Data Capabilities: Help integrate AI, machine learning and intelligent automation into enterprise data solutions where they provide meaningful business value. 

• Data Platforms: Support the implementation and evolution of enterprise data platforms, including data lakes, analytics environments and cloud-based data services. 

• Data Governance & Controls: Help establish practical standards for data quality, ownership, lineage, controls and responsible use of AI and data. 

• Business Partnership: Work closely with investment management, operations and technology teams to understand business requirements and translate them into sustainable data solutions. 

• Team Leadership: Lead, coach and develop data professionals while creating clear accountability, strong engineering practices and a collaborative team environment. 

• Leadership Depth & Resilience: Develop working knowledge across critical Enterprise Data Solutions responsibilities, platforms and stakeholder relationships so that leadership and decision-making can continue effectively when priorities or availability change.